https://scidar.kg.ac.rs/handle/123456789/13385 Thu, 23 Jul 2026 12:15:05 GMT 2026-07-23T12:15:05Z https://scidar.kg.ac.rs/handle/123456789/23189 Title: NUMERICAL CASE-STUDY INVESTIGATION OF THE IMPLEMENTATION OF VARIOUS EXTERNAL BIOCLIMATIC MEASURES IN AN ATRIUM SPACE OF A RESTAURANT BUILDING IN KRAGUJEVAC, SERBIA: THERMAL COMFORT AND ENERGY PERFORMANCE ANALYSIS Authors: Nešović, Aleksandar; Kowalik, Robert Abstract: Restaurants are a category of commercial buildings highly sensitive to dynamic changes in ambient parameters, such as thermal, internal air quality, luminous, and acoustic conditions. These fluctuations in environmental comfort yield distinct energy, ecological, and economic implications, posing a significant challenge to understanding building behavior, particularly during the cooling season. The subject of this case study is a restaurant building featuring an atrium space located in Kragujevac (Central Serbia). Its unique architectural form, which aligns with national energy efficiency principles, combined with favorable local parameters characteristic of a moderate continental climate, enables the implementation of bioclimatic measures for the passive reduction of final energy consumption during the cooling season. Therefore, using Google SketchUp 8 and EnergyPlus 7.1 software, eight bioclimatic measures, classified into three groups, were investigated: horizontal overhangs, horizontal pergolas, and deciduous plants. The numerical simulations show that using V. coignetiae as a roof covering for restaurant buildings is optimal across all the criteria. It achieves a one-season payback period, with seasonal specific metrics of 58.2 kWh/(m2season) for total final energy consumption, 145.5 kWh/(m2season) for total primary energy consumption, and 77.11 kg/(m2season) for total CO2 emissions. In addition, a moderate continental climate suits green architecture and passive solar systems. This study confirms that the bioclimatic measures achieve energy, ecological, and economic justification solely through an integrated approach and a detailed analysis. Integrating these measures during architectural design maximizes their positive effects, ensuring optimal building performance throughout its entire operational life. Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23189 2026-01-01T00:00:00Z https://scidar.kg.ac.rs/handle/123456789/23188 Title: A HYBRID FUZZY DECISION-MAKING ALGORITHM FOR PRIORITIZATION OF THE 8D PROBLEM-SOLVING METHODOLOGY USING FBWM AND FSREM Authors: Komatina, Nikola; Marinković, Dragan; Simić, Vladimir; Banduka, Nikola; Nešović, Aleksandar Abstract: This study developed a hybrid fuzzy decision-making algorithm based on the Fuzzy Best-Worst Method (FBWM) and the Fuzzy Square-Root-based Evaluation Method (FSREM). Despite the widespread application of the 8D methodology in engineering practice, the importance of its disciplines has not been sufficiently investigated; therefore, the aim of this study is to determine their significance and priority. The proposed fuzzy algorithm was applied to three companies operating within the automotive supply chain. FBWM was used to determine the criteria weights, while FSREM was applied to rank the 8D disciplines. Sensitivity analysis showed that the expert teams from the three considered companies perceived the problem in a very similar manner. The results of applying the proposed algorithm in all three companies showed that the discipline Identify and Verify Root Cause (D4) has the greatest influence on problem-solving effectiveness. In two of the three companies, Prevent Recurrence (D7) was ranked as the second most influential discipline, while in one company Define Permanent Corrective Actions (D5) was identified as the second most influential discipline. It can be concluded that the results demonstrated a high degree of consistency, while minor ranking deviations can be attributed to different quality management system approaches within each company. Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23188 2026-01-01T00:00:00Z https://scidar.kg.ac.rs/handle/123456789/23187 Title: PROBABILISTIC ASSESSMENT OF HEAVY METAL RISKS IN SEWAGE SLUDGE USING BCR SPECIATION AND BAYESIAN NETWORKS Authors: Janaszek-Kowalik, Agata; Kowalik, Robert; Furtado da Silva, Alessandra; Nešović, Aleksandar; Kozłowski, Tomasz; Kanuchova, Maria Abstract: The environmental risk associated with heavy metals in sewage sludge is commonly assessed using total metal concentrations; however, this approach fails to account for differences in metal mobility and bioavailability governed by chemical binding forms. In this study, an integrated probabilistic framework was developed to assess heavy metal mobility in sewage sludge by combining BCR sequential extraction, speciation-based risk indices, and Bayesian network modelling. Sewage sludge samples collected from multiple municipal wastewater treatment plants under different seasonal and operational conditions were characterized in terms of physico-chemical properties, total metal content, and chemical speciation. The application of conventional risk indices revealed substantial inconsistencies in risk classification, reflecting their divergent conceptual foundations and limited ability to provide coherent decision support. The Bayesian network model integrated heterogeneous inputs, including metal speciation fractions, risk indices, and operational factors, to generate probability-based assessments of overall metal mobility risk. The results demonstrated that metals associated with labile fractions exhibited the highest probability of elevated mobility risk, while metals predominantly bound to stable fractions were consistently classified as low risk across scenarios. Sensitivity analysis confirmed that chemical speciation was the dominant driver of mobility risk, with physicochemical and operational factors influencing risk indirectly through their effect on metal binding behavior. The proposed framework advances sewage sludge risk assessment beyond deterministic and retrospective approaches by explicitly accounting for uncertainty and enabling scenario-based evaluation. By providing probabilistic, decision-oriented insights, the integrated approach offers a robust tool for supporting sustainable sewage sludge management and can be adapted to other complex environmental systems. This study represents one of the first attempts to integrate chemical speciation and Bayesian inference into a unified probabilistic framework for sewage sludge risk assessment. Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23187 2026-01-01T00:00:00Z https://scidar.kg.ac.rs/handle/123456789/23186 Title: DЕSKTOP APLIKACIJA ZA ODRЕĐIVANJЕ SOLARNOG UPADNOG UGLA ZA FIKSNЕ I JЕDNOOSNO POKRЕTNЕ RAVNЕ POVRŠINЕ Authors: Nešović, Aleksandar; Milicevic, Bogdan; Radakovic, Aleksandar; Cvetković, Dragan; Čukanović, Dragan Description: Desktop aplikacija za određivanje solarnog upadnog ugla za fiksne i jednoosno pokretne ravne površine koristi se za početnu (brzu) procenu potencijala korišćenja ravnih solarnih uređaja (solarnih prijemnika, fotonaponskih panela i hibridnih solarnih sistema). Softver je namenjen projektantima (mašinskim inženjerima), konstruktorima, izvođačima solarnih uređaja, sistema i aplikacija, kao i fizičkim licima. Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23186 2026-01-01T00:00:00Z